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Removed 7 duplicated variants

Removed 7 duplicated variants

作者: PhageNanoenzyme | 来源:发表于2022-02-18 16:03 被阅读0次

    R version 4.0.5 (2021-03-31) -- "Shake and Throw"
    Copyright (C) 2021 The R Foundation for Statistical Computing
    Platform: x86_64-w64-mingw32/x64 (64-bit)

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    > # laml = read.maf(maf = laml.maf, clinicalData = laml.clin)
    > # laml
    > # laml@data
    > # laml@summary
    > # laml@variants.per.sample
    > # laml@variant.type.summary
    > # laml@variant.classification.summary
    > # laml@gene.summary
    > # laml@maf.silent
    > # laml@clinical.data
    > library(maftools)
    > #修改为tab键分割的文件
    > #突变文件
    > laml.maf <- './NGS23_0.maf.gz'
    > laml.maf
    [1] "./NGS23_0.maf.gz"
    > laml = read.maf(maf = laml.maf)
    -Reading
    -Validating
    Error in validateMaf(maf = maf, isTCGA = isTCGA, rdup = removeDuplicatedVariants,  : 
      missing required fields from MAF: Tumor_Sample_Barcode
    > # laml = read.maf(maf = laml.maf, clinicalData = laml.clin)
    > # laml
    > # laml@data
    > # laml@summary
    > # laml@variants.per.sample
    > # laml@variant.type.summary
    > # laml@variant.classification.summary
    > # laml@gene.summary
    > # laml@maf.silent
    > # laml@clinical.data
    > library(maftools)
    > #修改为tab键分割的文件
    > #突变文件
    > laml.maf <- './NGS23_0.maf.gz'
    > laml.maf
    [1] "./NGS23_0.maf.gz"
    > laml = read.maf(maf = laml.maf)
    -Reading
    -Validating
    Error in validateMaf(maf = maf, isTCGA = isTCGA, rdup = removeDuplicatedVariants,  : 
      missing required fields from MAF: Chromosome
    > # laml = read.maf(maf = laml.maf, clinicalData = laml.clin)
    > # laml
    > # laml@data
    > # laml@summary
    > # laml@variants.per.sample
    > # laml@variant.type.summary
    > # laml@variant.classification.summary
    > # laml@gene.summary
    > # laml@maf.silent
    > # laml@clinical.data
    > library(maftools)
    > #修改为tab键分割的文件
    > #突变文件
    > laml.maf <- './exp_23.maf.gz'
    > laml.maf
    [1] "./exp_23.maf.gz"
    > laml = read.maf(maf = laml.maf)
    -Reading
    -Validating
    --Removed 7 duplicated variants
    --Non MAF specific values in Variant_Type column:
      INT
    -Summarizing
    --Possible FLAGS among top ten genes:
      MUC5B
    -Processing clinical data
    --Missing clinical data
    -Finished in 7.280s elapsed (0.850s cpu) 
    > # laml = read.maf(maf = laml.maf, clinicalData = laml.clin)
    > # laml
    > # laml@data
    > # laml@summary
    > # laml@variants.per.sample
    > # laml@variant.type.summary
    > # laml@variant.classification.summary
    > # laml@gene.summary
    > # laml@maf.silent
    > # laml@clinical.data
    > library(maftools)
    > #修改为tab键分割的文件
    > #突变文件
    > laml.maf <- './exp_23.maf.gz'
    > laml.maf
    [1] "./exp_23.maf.gz"
    > laml = read.maf(maf = laml.maf)
    -Reading
    -Validating
    --Removed 7 duplicated variants
    -Summarizing
    --Possible FLAGS among top ten genes:
      MUC5B
    -Processing clinical data
    --Missing clinical data
    -Finished in 7.120s elapsed (1.410s cpu) 
    > #Shows sample summry.
    > getSampleSummary(laml)
        Tumor_Sample_Barcode Frame_Shift_Del Frame_Shift_Ins In_Frame_Del In_Frame_Ins
     1:            19O024962               1               2            1            0
     2:            20O032721               0               0            1            0
     3:            20O036851               1               0            0            0
     4:            20O036854               0               1            0            0
     5:            19O024975               1               0            3            0
     6:            19O025542               2               2            0            0
     7:            21O041199               1               0            0            1
     8:            20O030287               0               1            0            0
     9:            19O009587               0               0            1            0
    10:            19O024947               1               0            0            0
    11:            19O014350               0               1            0            0
    12:            19O014357               0               0            0            0
    13:            19O024953               0               0            0            0
    14:            19O007952               1               0            0            0
    15:            20O032274               0               1            1            0
    16:            19O024236               0               0            0            1
    17:            20O026723               0               0            0            0
    18:            20O036858               0               0            0            0
    19:            20O038833               1               0            0            0
    20:            19O024882               0               0            0            0
    21:            20O036856               0               1            0            0
    22:            20O036868               0               0            0            0
        Tumor_Sample_Barcode Frame_Shift_Del Frame_Shift_Ins In_Frame_Del In_Frame_Ins
        Missense_Mutation Nonsense_Mutation Splice_Site total
     1:                34                 2           6    46
     2:                18                 1           0    20
     3:                12                 0           0    13
     4:                10                 1           1    13
     5:                 3                 1           2    10
     6:                 4                 1           0     9
     7:                 6                 0           0     8
     8:                 6                 0           0     7
     9:                 4                 1           0     6
    10:                 4                 1           0     6
    11:                 3                 1           0     5
    12:                 3                 1           1     5
    13:                 5                 0           0     5
    14:                 0                 2           0     3
    15:                 1                 0           0     3
    16:                 0                 0           1     2
    17:                 2                 0           0     2
    18:                 1                 1           0     2
    19:                 1                 0           0     2
    20:                 1                 0           0     1
    21:                 0                 0           0     1
    22:                 1                 0           0     1
        Missense_Mutation Nonsense_Mutation Splice_Site total
    > #Shows gene summary.
    > getGeneSummary(laml)
         Hugo_Symbol Frame_Shift_Del Frame_Shift_Ins In_Frame_Del In_Frame_Ins Missense_Mutation
      1:        TP53               2               0            1            0                 1
      2:       MUC5B               0               0            0            0                 5
      3:      CREBBP               1               0            0            0                 1
      4:        EGFR               0               0            0            2                 0
      5:        HRAS               0               0            0            0                 2
     ---                                                                                        
    144:       ZC3H6               0               0            0            0                 1
    145:      ZDHHC4               0               0            0            0                 1
    146:      ZNF703               0               0            0            0                 1
    147:       ZNRF3               0               0            0            0                 0
    148:     ZSCAN5A               0               0            0            0                 1
         Nonsense_Mutation Splice_Site total MutatedSamples AlteredSamples
      1:                 2           0     6              5              5
      2:                 0           0     5              4              4
      3:                 0           0     2              2              2
      4:                 0           0     2              2              2
      5:                 0           0     2              2              2
     ---                                                                  
    144:                 0           0     1              1              1
    145:                 0           0     1              1              1
    146:                 0           0     1              1              1
    147:                 1           0     1              1              1
    148:                 0           0     1              1              1
    > #Shows all fields in MAF
    > getFields(laml)
     [1] "Hugo_Symbol"            "Entrez_Gene_Id"         "Center"                
     [4] "NCBI_Build"             "Chromosome"             "Start_Position"        
     [7] "End_Position"           "Strand"                 "Variant_Classification"
    [10] "Variant_Type"           "Reference_Allele"       "Tumor_Seq_Allele1"     
    [13] "Tumor_Seq_Allele2"      "Tumor_Sample_Barcode"   "Protein_Change"        
    [16] "i_TumorVAF_WU"          "i_transcript_name"     
    > #shows clinical data associated with samples
    > getClinicalData(laml)
        Tumor_Sample_Barcode
     1:            19O007952
     2:            19O009587
     3:            19O014350
     4:            19O014357
     5:            19O024236
     6:            19O024882
     7:            19O024947
     8:            19O024953
     9:            19O024962
    10:            19O024975
    11:            19O025542
    12:            20O026723
    13:            20O030287
    14:            20O032274
    15:            20O032721
    16:            20O036851
    17:            20O036854
    18:            20O036856
    19:            20O036858
    20:            20O036868
    21:            20O038833
    22:            21O041199
        Tumor_Sample_Barcode
    > #Writes maf summary to an output file with basename laml.
    > #write.mafSummary(maf = laml, basename = 'laml')
    > #plotmafSummary
    > plotmafSummary(maf = laml, rmOutlier = TRUE, addStat = 'median', dashboard = TRUE, titvRaw = FALSE)

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